5 items
Save social media posts to your Mac with one click. On-device AI auto-tags and searches them. Private, offline, no cloud. Your social feed is full of insights you'll never find again. That thread on LinkedIn. That Discord tip. That Substack deep-dive. Gone the moment you scroll past. Klipt fixes that. One click on any post, and it lands in the Klipt desktop app on your Mac — auto-tagged, searchable, and fully private. No cloud. No account. No copy-paste gymnastics. WHAT HAPPENS WHEN YOU CLIP • Post text, author, and images are captured with one click • Content transfers directly to the Klipt desktop app via Chrome Native Messaging • On-device AI auto-generates tags and a summary — nothing leaves your machine • Semantic search lets you find clips by meaning, not just keywords • Clips queue locally if the desktop app isn't running — nothing is lost TWO WAYS TO CLIP • From the browser: click the Klipt button that appears on any supported post • From anywhere: use Quick Klip (global keyboard shortcut) to capture whatever is on your clipboard — articles, tweets, notes, anything you copy ORGANIZE AND RESURFACE • Collections with emoji and color to group clips your way • Today's Klipt uses spaced repetition to resurface what matters • Copy any clip as a formatted quote or shareable image card YOUR PRIVACY Everything stays on your Mac. No account required. No data sent to any server. The extension only reads post content when you explicitly click "Send to Klipt". REQUIRES Klipt desktop app for Mac (free 3-day trial, then $29 lifetime license). Download at https://getklipt.com
May 4, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.